Research Assistant (DBMI)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading university in Singapore seeks a Data Scientist to join the Division of Biomedical Informatics. The successful candidate will collaborate with clinicians to develop AI models that enhance clinical workflows. Responsibilities include data preprocessing, analysis, and visualization, alongside reporting analytical findings to stakeholders. Applicants should hold a relevant Bachelor's degree and demonstrate proficiency in statistical analysis tools and programming languages like Python and SQL. Excellent communication skills are essential for this role.

Qualifications

• Strong analytical and problem-solving skills to translate complex data into insights.
• Proficiency in data analysis tools for data manipulation, analysis, and visualization.
• Experience with data visualization tools to create interactive dashboards.

Responsibilities

• Clean and preprocess data to ensure accuracy and completeness.
• Develop and implement data models and algorithms for analysis.
• Prepare and deliver reports, dashboards, and presentations for stakeholders.

Skills

Machine Learning

Data Mining

Research Skills

Python

Writing

Statistics

Publications

Laboratory

Research

Data Visualization

Education

Bachelor's degree in Statistics, Mathematics, or Computer Science

Tools

SQL

Python

R

Tableau

Power BI

Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via the NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Join the Division of Biomedical Informatics, Yong Loo Lin School of Medicine, NUS that advocates flexible and innovative working culture. Successful candidate will be part of a team of Data Scientists and Software Developers who partner clinicians to propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in the NUHS cluster. The candidate will also ensure the adequacy and effectiveness of the models and tools for NUHS.

Responsibilities

• Clean and preprocess data to ensure accuracy, consistency, and completeness.
• Apply statistical techniques and data mining methods to explore and analyze large datasets.
• Identify meaningful patterns, trends, and correlations in the data.
• Develop and implement data models, algorithms, and visualizations to present findings effectively.
• Prepare and deliver clear and concise reports, dashboards, and presentations to communicate analytical findings to stakeholders.
• Collaborate with teams across the organization to understand their data needs and provide analytical support.
• Ensure data visualizations are intuitive, visually appealing, and easy to understand for non-technical audiences.
• Develop and implement data quality checks and validation processes to ensure data accuracy and integrity.
• Monitor data integrity over time and proactively identify and address any data issues or anomalies.

Qualifications

• Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science).
• Strong analytical and problem‑solving skills, with the ability to translate complex data into actionable insights.
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization.
• Familiarity with statistical techniques and data mining methods.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive and visually appealing dashboards and reports.
• Knowledge of database concepts and experience working with large datasets (Good to Have).
• Strong attention to detail and ability to handle and analyze data accurately.
• Excellent communication and presentation skills to effectively convey analytical findings to both technical and non‑technical stakeholders.
• Ability to work independently and collaboratively in a fast‑paced environment.

Relevant Skills

• Machine Learning
• Data Mining
• Research Skills
• Python
• Writing
• Statistics
• Publications
• Laboratory
• Research
• Data Visualization